Target classifications

DN Dac-Trung Nguyen
SM Stephen Mathias
CB Cristian Bologa
SB Soren Brunak
NF Nicolas Fernandez
AG Anna Gaulton
AH Anne Hersey
JH Jayme Holmes
LJ Lars Juhl Jensen
AK Anneli Karlsson
GL Guixia Liu
AM Avi Ma'ayan
GM Geetha Mandava
SM Subramani Mani
SM Saurabh Mehta
JO John Overington
JP Juhee Patel
AR Andrew D. Rouillard
SS Stephan Schürer
TS Timothy Sheils
AS Anton Simeonov
LS Larry A. Sklar
NS Noel Southall
OU Oleg Ursu
DV Dusica Vidovic
AW Anna Waller
JY Jeremy Yang
AJ Ajit Jadhav
TO Tudor I. Oprea
RG Rajarshi Guha
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Based on the data collected for each target, the KMC has constructed a high level classification scheme, termed the Target Development Level (TDL). TDL characterizes the degree to which they are studied or not studied, as evidenced by publications, tool compounds and other features. The TDL scheme serves as the primary grouping of targets, clearly delineating those targets that are unstudied (labeled Tdark) from those that have more information about them (labeled Tclin, if associated with approved drugs with known mechanism of action (10), Tchem, if associated with small molecule activities in ChEMBL or Tbio if not associated with small molecule or drug activities but have a GO MF or BP leaf term annotated or else have a confirmed OMIM phenotype). DrugCentral (11) aggregates target-disease information, drug target bioactivity data, which are used to categorize Tclin and Tchem, and feeds into TCRD. See http://juniper.health.unm.edu/tcrd/ for a more in depth description of the TDL classification scheme. Along with the TDL scheme, we have employed DTO to support a formal classification and annotation of the IDG protein families, building on top of prior classification schemes for kinases (13), GPCRs (1214), ion channels (15) and nuclear receptors (13). Though the DTO, being an ontology, allows for sophisticated inferencing and hypothesis generation, Pharos currently employs the DTO primarily as a simple classification scheme to complement the TDL categories.

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